Application of SIFT Feature Extraction Algorithm on the Image Registration

摘要：

Presents a high-accuracy image registration technique using SIFT and BBF. Conventional techniques of SIFT-based image registration are not very effective when searching for homonymy point-pairs, and eliminating mismatching. This paper proposes a technique to improve registration performance by BBF and RANSAC algorithm, BBF algorithm searches optimal homonymy point-pairs, and RANSAC algorithm eliminates mismatching. Experiments with real-world scenes demonstrate that the proposed method can reach a better precision and robustness, which outperforms previously proposed schemes, and makes possible to estimate image displacement with 0.01 pixel accuracy.

关键词： image registration subpixel registration image matching BBF KD-tree RANSAC.

作者: Liu Jinxia Qiu Yuehong

作者单位: Xian Institute of Optics and Precision Mechanics of CAS,Xian 710119,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 897-900

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）